On a probabilistic approach to synthesize control policies from example datasets
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Publication:2071969
DOI10.1016/j.automatica.2021.110121zbMath1482.93587arXiv2005.11191OpenAlexW3027624373MaRDI QIDQ2071969
Giovanni Russo, Davide Gagliardi
Publication date: 31 January 2022
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2005.11191
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- Optimal control as a graphical model inference problem
- Axiomatisation of fully probabilistic design
- Towards fully probabilistic control design
- Fully probabilistic control for stochastic nonlinear control systems with input dependent noise
- The role of duality in optimization problems involving entropy functionals with applications to information theory
- Bayesian system identification
- New methods for linear inequalities
- Two applications of a consistency theorem for systems of linear inequalities
- Data informativity for the open-loop identification of MIMO systems in the prediction error framework
- Data-driven control of nonlinear systems: an on-line direct approach
- From model-based control to data-driven control: survey, classification and perspective
- Fully probabilistic control design
- On infinite systems of linear inequalities
- Online Markov Decision Processes With Kullback–Leibler Control Cost
- Efficient computation of optimal actions
- Linear Inequalities and Related Systems. (AM-38)
- Kullback-leibler approximation of spectral density functions
- Solving Systems of Linear Equations and Inequalities
- On the Existence of a Solution to a Spectral Estimation Problem <italic>à la</italic> Byrnes–Georgiou–Lindquist
- Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework
- Controller Synthesis Free of Analytical Models: Three Term Controllers
- Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
- Learning Policies for Markov Decision Processes From Data
- Entropy, optimization and counting
- On the Georgiou–Lindquist Approach to Constrained Kullback–Leibler Approximation of Spectral Densities
- Elements of Information Theory
- Optimal Experimental Designs
- Duality for optimization problems with entropy-like objective functions
- On Information and Sufficiency
- Data Informativity: A New Perspective on Data-Driven Analysis and Control
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